Dr. Wedad Alawad
PhD in Computer Science and Informatics
Dr. Wedad Alawad is a member of the ICCC alumni community. Documented research areas include machine learning, decision trees and hyperparameter optimization.
Selected published work: “Tuning Hyperparameters of Decision Tree Classifiers Using Computationally Efficient Schemes” (2018). Publication details and links are listed below.
Research & Publications
1 matched publication · Newest first
This list contains publications matched from publisher and author records. It may not include every publication.
Tuning Hyperparameters of Decision Tree Classifiers Using Computationally Efficient Schemes
View PublicationStart here · New researcher guide
A reading workflow, not an author-verified summary. Confirm all details in the original publication.
- Check the fit. Read the abstract and introduction. Write down the research question and explain how it relates to your idea.
- Understand the method. Identify the approach, assumptions, data and evaluation measures in the paper.
- Check reproducibility. Look for linked code, datasets and supplementary material. Availability has not been verified by ICCC.
- Find your next question. Read limitations and future work. Propose one extension and check newer literature before claiming a research gap.
- Plan a first experiment. Define a baseline, the change you will test and a measurable outcome. Discuss feasibility with your supervisor.
For questions or collaboration, visit the member profile and use a listed contact channel. Authorship and collaboration require agreement.
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